Abstract
The problems of highlighting the main informational aspects of images and creating their adequate models are discussed in the chapter. Vision systems can receive information about an object in different frequency ranges and in a form that is not accessible to the human visual system. Vision systems distort the information contained in the image. Therefore, to create effective image processing and transmission systems, it is necessary to formulate mathematical models of signals and interference. The chapter discusses the features of perception by the human visual system and the issues of harmonizing the technical characteristics of industrial systems for receiving and transmitting images. Methods and algorithms of pattern recognition are discussed. The problem of conjugation of the characteristics of the technical vision system with the consumer of information is considered.
TopMain Features Of Human Visual System
Technical vision systems, as a rule, form an image for a person. Therefore, it is important to conjugate technical features of a system with properties of human eyesight. Thereby, it’s necessary to form the mathematical models of the human being eyesight system. For more than half of a century, much attention has been paid to this issue in the scientific literature, for example (Bates, 1989) or (Castleman, 1979).
Key Terms in this Chapter
Spectrum: Is the Fourier transform of the original image.
Brightness: Is an attribute of visual perception in which a source appears to be radiating or reflecting light. It is not necessarily proportional to luminance.
Image Processing: Is a procedure for rectification, enhancement, reconstruction, restoration, coding, and pattern recognition.
Deconvolution: Is an algorithm-based process used to reverse the effects of convolution on recorded data.
Human Visual System: Is a mathematical model of image processing which make the image processing like the human eye and brain.
Sampling: Is a procedure of digitizing an image according to spatial coordinates and amplitude.